A touch interface exploiting the use of vibration theories and infinite impulse response filter modeling based localization algorithm

Poletkin, Kirill; Yap, Xuexin; Khong, Andy W. H.

doi:10.1109/icme.2010.5582570

Cited by 17 publications

(10 citation statements)

References 3 publications

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“…Using I = 3 and Q = 25, the accuracy of using CC-LTM and AP-LTM are 68.00% and 96.48% respectively [49], [50]. From this, it is noted that even with reduced complexity, the AP-LTM is able to localize approximately 25% more accurately than the cross-correlation approach.…”

Section: Experimental Results Of Cc-ltm and Ap-ltmmentioning

confidence: 88%

“…The algorithm assumes that the speed of wave propagating is known and that the wave propagates at a constant speed throughout the material. The key advantage of the TDOA-based algorithms over that of the LTM-based algorithms, described in Section 4.3, source localization on solids is that it requires only minimal calibration before it can be operated by a user [46], [49], [50], [51]. We next reviewed a TDOA algorithm which is robust to dispersion and we look at the hardware used to implement the dispersion-robust TDOA algorithm.Since a TDOA-based source localization algorithm requires more than three sensors, we note that a large number of wires are involved in the setup of this prototype.…”

Section: Resultsmentioning

confidence: 99%

“…3.5, a Murata PKS1-4A1 accelerometer is mounted at (5, 25) cm on a piece of acrylic of dimension 60 cm × 30 cm × 0.7 cm. We We propose to evaluate the performance of the algorithms by means of a weighted function defined as [46], [49], [50] 12) where J(Q) is the score of the Q th test tap for Q = 1, . .…”

Section: Experimental Setup and Performance Measurementioning

confidence: 99%

“…13) the accuracy of the algorithm is obtained.In an earlier experimentation phase, the CC-LTM was found to yield an accuracy of about 68%[49],[50]. This is because the pre-recorded signals are in the first place very similar.…”

mentioning

confidence: 93%

“…calization in solids, where the authors of [14] introduced the use of cross-correlation as a means to compare the similarity between the test signal and the pre-recorded signals. We then propose to model the dominant peaks of the taps using an AP filter model, and show that the AP-LTM is able to localize more accurately than CC-LTM, whilst ensuring a significantly lower computational complexity [49], [50].…”

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confidence: 99%

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Source localization on solids for touch interfaces

Yap¹

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Research into human computer interface (HCI) has been very active in recent years due to the advances in software applications. Such devices are aimed at providing a more natural interface for which humans to interact with machines. In this research, we propose a new approach to the development of a touch interface through the use of a surface-mounted sensor which allows one to convert hard surfaces into touch pads. We first develop, using mechanical vibration theories, a mathematical model that simulates the output signals derived from sensors mounted on a physical surface. Utilizing this model, we determine the hardware required for this research. We then develop a source localization algorithm based on an all-pole filter model for location template matching that extracts the dominant frequencies of the tap. The performance of the proposed algorithm is compared with existing approaches and verified both in a synthetic as well as a real environment for the localization of a finger tap on a touch interface. In addition, we explore the time-difference-of-arrival based methods for source localization and implement a real-time wireless source localization prototype. 4 ACKNOWLEDGEMENT I would like to acknowledge and extend my heartfelt gratitude to the persons who have made assisted and guided me thus far in this research, in particular, the members of the Speech, Touch and Acoustic Tangible Interfaces for Nextgeneration Applications (STATINA), for their continual support, guidance and encouragement, (in alphabetical order) Amir bin Sulaiman,

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Section: Experimental Results Of Cc-ltm and Ap-ltmmentioning

confidence: 88%